Loss function.
In this work, we train the flow estimator and the frame interpolation model, both by optimizing the Charbonnier penalty function [1]}, i.e., \(f(x)=\sqrt{x^{2}+\varepsilon ^{2}}\)  (\(\varepsilon = 1e-6\) ), but with different terms respectively.
